The proposed air quality monitoring system aims to provide real-time, accurate data on air pollutants to enable better decision-making for environmental health. Utilizing a network of sensors strategically placed throughout urban areas, the system will continuously monitor key air quality parameters such as particulate matter (PM2.5 and PM10), carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2), and ozone (O3). Data collected from these sensors will be transmitted to a central database where it will be processed and analysed. Users, including government agencies, researchers, and the public, will access this data through a user-friendly interface via web or mobile application. Additionally, the system will incorporate machine learning algorithms to predict air quality trends and issue alerts for potential pollution events. This comprehensive approach to air quality monitoring will provide valuable insights for policymakers and individuals to take proactive measures in safeguarding public health and the environment.